Face recognition using an enhanced independent component analysis approach

IEEE Transactions on Neural Networks

Volumn 18, Issue 2, 2007, Pages 530-541

  Kwak, Keun Chang ^a   Pedrycz, Witold ^b,c  

^a Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

^b UNIVERSITY OF ALBERTA   (Canada)

^c SYSTEMS RESEARCH INSTITUTE   (Poland)

Author keywords

Eigenface; Face recognition; Fisherface; Independent component analysis (ICA); Linear discriminant analysis (LDA); Principal component analysis (PCA); Support vector machines (SVMs)

Indexed keywords

ARTIFICIAL INTELLIGENCE; EIGENVALUES AND EIGENFUNCTIONS; FISHER INFORMATION MATRIX; INDEPENDENT COMPONENT ANALYSIS; LEARNING SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; STATISTICS; SUPPORT VECTOR MACHINES;

FACE DATABASE; FISHERFACE; LINEAR DISCRIMINANT ANALYSIS;

FACE RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; FACE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRY; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; FACE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LINEAR MODELS; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 34047102033     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2006.885436     Document Type: Article

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